The adoption of wearable technologies, particularly smartwatches, is rapidly increasing, offering new opportunities for collecting and analyzing health data. Music streaming has also become integral to daily life, creating potential for linking music with physiological signals like heart rate. The VitaBeat app was developed as part of a student research project to provide a tool for analyzing the relationship between music and heart rate. Connects music to heart rate measurements, collecting data from smartwatch and smartphone sensors and Spotify playback via the Spotify SDK, which is transmitted to a central back-end for analysis. A requirements analysis was conducted using an online survey to gather insights from potential users. The survey aimed to identify user needs and preferences for the app’s features and usability. Based on the survey findings, several new features were implemented, including heart rate diagrams for individual songs, heart rate overviews, and gamified micro-breaks to enhance engagement. The user interface was also redesigned for better usability and clearer data presentation. This thesis outlines the methodology and results of the survey, the new features developed from those insights, and recommendations for future improvements.